Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning

Edwin De Nicolo, Rahul Marchand, Cornelius Carlsson +2

Cooperative multi-agent reinforcement learning is well suited to problems with large parameter spaces and exploitable local structure, such as the tuning of electrostatically-defin…